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Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer
Author(s) -
Yang Yang,
Si Xuefeng,
Yue Dong
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5272
Subject(s) - control theory (sociology) , backstepping , nonlinear system , observer (physics) , state observer , computer science , actuator , controller (irrigation) , tracking (education) , control (management) , control engineering , engineering , adaptive control , artificial intelligence , physics , psychology , pedagogy , quantum mechanics , agronomy , biology
Summary An event‐triggered observer‐based output feedback control issue together with triggered input is investigated for a class of uncertain nonlinear systems subject to unknown external disturbances. Two separate event‐triggered conditions are located on the measurement channel and control channel, respectively. An event‐triggered extended state observer (ETESO) is employed to estimate unmeasurable states and compensate uncertainties and disturbances in real time while it is not required for real‐time output measurement. Then, combined with backstepping method and active disturbance rejection control, an output feedback control scheme is proposed, where an event‐triggered input is developed for reducing the communication rate between the controller and the actuator. The triggered instants are determined by a time‐varying event‐triggered condition. Two simulations, including a numerical example and an permanent‐magnet motor, are illustrated to verify the effectiveness of the proposed schemes.